Literature DB >> 32559422

Rational Cancer Treatment Combinations: An Urgent Clinical Need.

Julia Boshuizen1, Daniel S Peeper2.   

Abstract

We are witnessing several revolutionary technological advances in cancer. These innovations have not only contributed to a growing understanding of the tumor and its microenvironment but also uncovered an increasing array of new therapeutic targets. For most advanced cancers, therapy resistance limits the benefit of single-agent therapies. Therefore, some 5,000 clinical trials are ongoing globally to probe the clinical benefit of new combination treatments. However, the possibilities to combine individual treatments dramatically outnumber the patients available to enroll in clinical trials. This comes at a potential cost of missed opportunities, clinical failure, avoidable toxicity, insufficient patient accrual, and financial loss. A solution may be to design combination therapies more rationally, which are informed by fundamental biological and mechanistic insight. We will discuss some successes and failures of current treatment combinations, as well as interesting emerging preclinical concepts that warrant clinical exploration.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32559422     DOI: 10.1016/j.molcel.2020.05.031

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  28 in total

1.  Computational Pipeline for Rational Drug Combination Screening in Patient-Derived Cells.

Authors:  Paschalis Athanasiadis; Aleksandr Ianevski; Sigrid S Skånland; Tero Aittokallio
Journal:  Methods Mol Biol       Date:  2022

2.  Transient targeting of BIM-dependent adaptive MCL1 preservation enhances tumor response to molecular therapeutics in non-small cell lung cancer.

Authors:  Kaixuan Shi; Haijiao Lu; Zhenfeng Zhang; Yujie Fu; Jie Wu; Shichao Zhou; Pengfei Ma; Kaiyan Ye; Shengzhe Zhang; Hailei Shi; Weiping Shi; Mei-Chun Cai; Xiaojing Zhao; Zhuang Yu; Jian Tang; Guanglei Zhuang
Journal:  Cell Death Differ       Date:  2022-09-28       Impact factor: 12.067

Review 3.  The role of LncRNA LBX2-AS1 in cancers: functions, mechanisms and potential clinical utility.

Authors:  Yuanshuai Su; Chengzhi Li; Yu Fang; Xinyu Gu; Qiuxian Zheng; Juan Lu; Lanjuan Li
Journal:  Clin Transl Oncol       Date:  2022-09-21       Impact factor: 3.340

4.  SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples.

Authors:  Aleksandr Ianevski; Anil K Giri; Tero Aittokallio
Journal:  Nucleic Acids Res       Date:  2022-05-17       Impact factor: 19.160

5.  Integrated Drug Mining Reveals Actionable Strategies Inhibiting Plexiform Neurofibromas.

Authors:  Rebecca M Brown; Sameer Farouk Sait; Griffin Dunn; Alanna Sullivan; Benjamin Bruckert; Daochun Sun
Journal:  Brain Sci       Date:  2022-05-31

Review 6.  Development of Molecular Mechanisms and Their Application on Oncolytic Newcastle Disease Virus in Cancer Therapy.

Authors:  Fang Huang; Chuanjing Dai; Youni Zhang; Yuqi Zhao; Yigang Wang; Guoqing Ru
Journal:  Front Mol Biosci       Date:  2022-07-04

Review 7.  Emerging concepts in designing next-generation multifunctional nanomedicine for cancer treatment.

Authors:  Kasturee Chakraborty; Archana Tripathi; Sukumar Mishra; Argha Mario Mallick; Rituparna Sinha Roy
Journal:  Biosci Rep       Date:  2022-07-29       Impact factor: 3.976

8.  HSP90 inhibitors induce GPNMB cell-surface expression by modulating lysosomal positioning and sensitize breast cancer cells to glembatumumab vedotin.

Authors:  Marco Biondini; Alex Kiepas; Leeanna El-Houjeiri; Matthew G Annis; Brian E Hsu; Anne-Marie Fortier; Geneviève Morin; José A Martina; Isabelle Sirois; Adriana Aguilar-Mahecha; Tina Gruosso; Shawn McGuirk; April A N Rose; Unal M Tokat; Radia M Johnson; Ozgur Sahin; Eric Bareke; Julie St-Pierre; Morag Park; Mark Basik; Jacek Majewski; Rosa Puertollano; Arnim Pause; Sidong Huang; Tibor Keler; Peter M Siegel
Journal:  Oncogene       Date:  2022-02-02       Impact factor: 8.756

9.  Patient-tailored design for selective co-inhibition of leukemic cell subpopulations.

Authors:  Aleksandr Ianevski; Jenni Lahtela; Komal K Javarappa; Philipp Sergeev; Bishwa R Ghimire; Prson Gautam; Markus Vähä-Koskela; Laura Turunen; Nora Linnavirta; Heikki Kuusanmäki; Mika Kontro; Kimmo Porkka; Caroline A Heckman; Pirkko Mattila; Krister Wennerberg; Anil K Giri; Tero Aittokallio
Journal:  Sci Adv       Date:  2021-02-19       Impact factor: 14.136

10.  Drug synergy scoring using minimal dose response matrices.

Authors:  Petri Mäkelä; Si Min Zhang; Sean G Rudd
Journal:  BMC Res Notes       Date:  2021-01-19
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